Circiter · We do data science

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Circiter · We do data science

Circiter · We do data science

@circiter_es

We do data science. Smokeless. Proudly based in Madrid. https://t.co/VDuFFve7Iv

Katılım Kasım 2016
14 Takip Edilen56 Takipçiler
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Jesús Lagos
Jesús Lagos@Vdot_Spain·
Recuerdo una charla con el grupo de usuarios de R en Madrid donde les hable de cómo usaba R en el futbol y les comenté un tema que en aquel momento me costaba bastante aceptar. Les pregunte donde trabajaban: Carrefour, Orange, consultoras varias, etc y les comenté: 'Da igual si hago buen o mal trabajo, podéis entrar ahora a ver como va el Leeds en la clasificación y en 10 segundos podéis juzgar mi trabajo, o yo al menos siento que si la pelota no entra por muy bien que hiciera lo trabajo no era completo." En cambio, quien sabe (expertos si pero hablo de a pie de calle) si el churn o ARPU de Orange se degrada, si el ticket medio de Carrefour sube o baja, o si esa consulta ha perdido n clientes. Para mí hice un trabajazo en Leeds, mas 2 años apasionantes, pero nos fuimos a 2a y todo lo q pueda decir o contar será paja ante el kpi mas importante del fútbol, meter mas goles que tus rivales. Incluso cuento esto con un poco "vergüenza", nos fuimos a 2a...q trabajazo ni que leches. La vida es así. Pero después de un par de años tenía q liberarme de este sentimiento. E incluso más allá, equipos que ganan ¿quién se pregunta el trabajo que hay detras? La pelota entra y para muchos será suficiente. De hecho podría contar casos al revés, trabajos que ni fu ni fa, pero envueltos en un éxito q no era mio y en cambio la percepción era diferente de cara afuera.
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Joey Politano 🏳️‍🌈
Joey Politano 🏳️‍🌈@JosephPolitano·
EU GDP flash estimates are in today—the EU grew 1.4% over last year, Eurozone 1.3% Fastest: Ireland (6.7%, mostly pharma export), Spain (2.6%), Lithuania (2.5%), Czechia (2.4%), Portugal (1.9%) Slowest: Finland (-.1%), Germany (.4%), Hungary (.5%), Austria (.7%), Italy (.8%)
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Nassim Nicholas Taleb
Nassim Nicholas Taleb@nntaleb·
HOW I KNEW EPSTEIN WAS A FRAUD A mathematician friend of mine was told by Epstein in 2004 that he made his money as a "mathematical option trader". My friend was impressed as Epstein had the largest mansion in Manhattan. My option friends found no trace of him in the option markets; in the pre-electronic days it was impossible to have a size position w/o being traced (he needed size to make this kind of money). So I knew at 100% there was a scam. Later was told that he was a "money manager". Again no footprint in the investment world. And supposedly his minimum size was 1 Bn. Impossible. Epstein tried at several occasions to meet with me through two different people, after he served some jail time. I told them to tell him to fuck off. So my only contact with him is through his reading of my books.
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Nassim Nicholas Taleb@nntaleb

@AmerAssaleh There is more. Aside from the invitations to parties, Epstein tried & failed to meet me in his mansion in Feb 2015.

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Cesar Augusto Londoño
Cesar Augusto Londoño@cesaralo·
Simulación del crecimiento de la Ciudad de México durante 700 años, entre 1325 y 2025. Se fundó como Tenochtitlan sobre una isla en el Lago de Texcoco, desarrollaron una ingeniería avanzada con chinampas (islas artificiales) para agricultura y diques para separar aguas dulces y saladas. Tras la conquista, el lago fue drenado. Hoy se hunde entre 10 y 30 centímetros por año.
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Startup Archive
Startup Archive@StartupArchive_·
Peter Thiel on why all trends are overrated “I’m always skeptical of sectors and trends. People always ask me what some trends are that I see happening in the future, and I have never liked the question because I’m not a prophet and I don’t think the future is fixed in that sort of way… At this point, I think all trends are overrated… if you hear the words ‘big data’ and ‘cloud computing’, you need to run away as fast as you possibly can. Just think ‘fraud’ and run away.” He continues: “All these buzzwords are a tell—like in poker—that the company is bluffing and undifferentiated… We’ve heard the buzzwords before, and so if you’re the nth company in a category that’s well established, that’s problematic… Conversely, I think the things that are underrated are the ones where there are no buzzwords and it doesn’t actually fit into any pre-existing categories… Of course, the challenge is that even the people who are running these companies will describe them in terms of existing categories because that’s so much easier to do.” One example he uses is that Google would’ve been described as a search engine in 1998. There were already 20+ search engines at the time, but the PageRank algorithm was actually the key differentiating thing. If you simply labeled it as a search engine, that would’ve obscured all of the key differences. “Figuring out the correct way to think about things in categories for which we don’t even have the proper language is really critical.” Video source: @twistartups @jason (2015)
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Circiter · We do data science
Circiter · We do data science@circiter_es·
Muy satisfechos de la felicitación de nuestro cliente por ese pequeño proyecto que usa INLA en el núcleo del núcleo (aunque estamos pensando migrarlo a numpyro en la próxima versión).
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ADD
ADD@eldoncel·
Todos los sistema de enseñanza, se van a tener que adaptar a las nuevas disrupciones tecnológicas que están llegando. Cosa que no han hecho bien nunca. Verás que fiesta 🎉.
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